18065395. INTELLIGENT UPGRADE WORKFLOW FOR A CONTAINER ORCHESTRATION SYSTEM simplified abstract (International Business Machines Corporation)
Contents
INTELLIGENT UPGRADE WORKFLOW FOR A CONTAINER ORCHESTRATION SYSTEM
Organization Name
International Business Machines Corporation
Inventor(s)
Shweta Vohra of Bangalore (IN)
Madhusmita Patil of Hyderabad (IN)
William A. Brown of Raleigh NC (US)
Scott E. Schneider of Rolesville NC (US)
INTELLIGENT UPGRADE WORKFLOW FOR A CONTAINER ORCHESTRATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18065395 titled 'INTELLIGENT UPGRADE WORKFLOW FOR A CONTAINER ORCHESTRATION SYSTEM
Simplified Explanation: The patent application describes a method for upgrading containerized applications in a container orchestration system using artificial intelligence.
- State information about containerized applications is analyzed.
- An upgrade path is determined based on the state information.
- An AI-based platform generates a recommendation for a full or partial upgrade.
- User confirmation is obtained for the upgrade type.
- Components for the upgrade are created.
- The upgrade is performed according to the upgrade path and user choice.
Key Features and Innovation:
- Utilizes artificial intelligence for upgrading containerized applications.
- Analyzes state information to determine upgrade path.
- Generates recommendations for full or partial upgrades.
- Involves user confirmation for upgrade type.
- Creates components for the upgrade process.
Potential Applications: This technology can be applied in various industries where containerized applications are used, such as cloud computing, software development, and IT infrastructure management.
Problems Solved: This technology addresses the challenge of efficiently upgrading containerized applications in a cluster environment, ensuring seamless transitions and minimal downtime.
Benefits:
- Improved efficiency in upgrading containerized applications.
- Reduced downtime during the upgrade process.
- Enhanced user experience with clear upgrade recommendations.
- Better management of containerized applications in a cluster environment.
Commercial Applications: The technology can be utilized by cloud service providers, software development companies, and IT departments to streamline the upgrade process of containerized applications, leading to improved performance and user satisfaction.
Prior Art: Readers can explore prior research on container orchestration systems, artificial intelligence in software management, and upgrade strategies for containerized applications.
Frequently Updated Research: Stay updated on advancements in artificial intelligence for container orchestration, best practices for upgrading containerized applications, and the integration of AI in IT infrastructure management.
Questions about Containerized Application Upgrades: 1. How does artificial intelligence improve the efficiency of upgrading containerized applications? 2. What are the key factors considered when determining the upgrade path for containerized applications?
Original Abstract Submitted
An approach is provided for upgrading containerized applications in cluster(s) in a container orchestration system. State information about the containerized applications is identified and analyzed. Based on the state information, an upgrade path for an upgrade of the containerized applications is determined. Using an artificial intelligence (AI) based container orchestration platform upgrade engine that employs continuous learning for upgrading data and algorithmic models to upgrade containers, a recommendation is generated that the upgrade be a full upgrade or a partial upgrade. A confirmation of the full upgrade or the partial upgrade is received from a user. Components for the full upgrade or the partial upgrade are created. Using the upgrade path and based on the full upgrade or the partial upgrade, the upgrade is performed.
